# SoTalent — Head of AI & Data Strategy

- Generated: 2026-08-31 09:36:53 PM EDT
- Original/canonical posting: https://www.linkedin.com/jobs/view/4459244408/
- User-provided LinkedIn posting: https://www.linkedin.com/jobs/view/4459244408/
- Posting time: approximately 2026-08-31 03:36 PM EDT (estimated from LinkedIn's '6 hours ago')
- Applicants: 25 applicants
- Work model/location: On-site in Boston, Massachusetts
- Employment type: Full-time
- Compensation: $259,000-$407,000 base
- Travel: Not disclosed
- Positioning track: Executive leader
- Fit outcome: BORDERLINE — 77%

## Direct-match strengths

Enterprise AI strategy, life-sciences and pharmaceutical informatics, AI governance, regulated software, multidisciplinary leadership, production adoption, and executive influence.

## Hard or material gaps

Material gap: the central mandate requires recent quantitative-science leadership embedded in clinical development. Keith has substantial but older pharma/biotech and bioinformatics leadership plus current enterprise AI leadership, but not direct recent clinical-development decision-science ownership. His Ph.D. is scientific rather than statistics/data science.

## Evidence map

1. Enterprise AI and data strategy — direct across IDW, AWS, MassMutual, and TriMark.
2. Life-sciences and pharma context — direct Ph.D., Gene Logic, Ingenuity, Wyeth, and bioinformatics leadership, though older.
3. Innovation through production adoption — direct across AssistX, enterprise platforms, and commercial scientific software.
4. AI governance, validation, auditability, and lifecycle controls — direct MassMutual and IDW evidence.
5. Multidisciplinary organization leadership — direct teams and technical communities spanning AI, data, software, and cloud.
6. Clinical-development quantitative science and decision science — material adjacent gap; no recent direct ownership is claimed.
7. Advanced degree — Ph.D. in molecular biology/microbiology and immunology, not statistics or data science.

## Full normalized job description

Head of AI & Data Strategy
Location:
Boston, MA
Industry:
Pharmaceuticals / Biotechnology / Life Sciences
Employment Type:
Full-time
About the Role
A senior leadership opportunity is available for an experienced AI, data, and quantitative science leader to drive the integration and enterprise-scale adoption of advanced analytics and AI across R&D.
This role sits at the intersection of
AI/ML, quantitative sciences, data strategy, and business decision-making
, with responsibility for turning emerging methodologies and innovation into standardized, scalable, and production-ready capabilities.
The successful candidate will work across R&D and business functions to embed AI and advanced quantitative methods into clinical development, decision-making, governance, and operational workflows. The role combines strategic leadership with the ability to translate complex technical innovation into practical, measurable business impact.
Key Responsibilities
Define and lead an enterprise-wide strategy for AI, advanced analytics, quantitative methods, and decision science across R&D.
Translate emerging AI/ML and quantitative innovations into scalable, reusable capabilities rather than isolated pilot projects.
Lead the full lifecycle from innovation and validation through deployment, adoption, and enterprise scaling.
Integrate AI and advanced analytical methods into clinical development and strategic decision-making.
Establish frameworks and standards for AI governance, model validation, reproducibility, documentation, auditability, and deployment readiness.
Identify opportunities to improve decision quality, development efficiency, and business outcomes through advanced data and AI capabilities.
Build and lead multidisciplinary teams spanning AI/ML, data science, quantitative methodology, decision science, and technology.
Partner with senior leaders across R&D and other functions to drive organizational adoption and transformation.
Develop relationships with external scientific, regulatory, academic, and industry organizations to advance the use of AI and quantitative methods in regulated environments.
Establish scalable approaches that enable consistent application of advanced methods across multiple programs and business areas.
Serve as a strategic advisor to senior leadership on AI-enabled transformation, quantitative decision-making, and emerging technologies.
What We're Looking For
Advanced experience leading AI, data science, quantitative sciences, analytics, or related technical functions within a complex organization.
A PhD in Statistics, Data Science, or another quantitative discipline with approximately 15+ years of relevant experience, or a master's degree with approximately 18+ years of equivalent experience.
Significant leadership experience within pharmaceuticals, biotechnology, healthcare, or another highly regulated environment.
Deep expertise in AI/ML, advanced analytics, quantitative methodology, or decision science.
Proven ability to take innovative technical concepts from development through enterprise-wide implementation.
Strong understanding of AI governance, model validation, lifecycle management, and regulatory considerations.
Experience leading complex, multidisciplinary teams and influencing stakeholders across large, matrixed organizations.
Strong strategic thinking and the ability to connect technical capabilities with business and organizational objectives.
Excellent communication and stakeholder-management skills, with the ability to influence technical and non-technical audiences.
Demonstrated ability to lead organizational change and drive adoption of new technologies and methodologies.
Compensation
Base Salary Range: $259,000 – $407,000
Actual compensation may vary based on experience, qualifications, education, skills, and location. The position also offers a comprehensive benefits package.

## Artifact metadata

- Resume and cover letter: Not generated under the fit gate.
- Archived JD capture: https://files.keithsteward.com/SoTalent/Keith_Steward_Head_AI_Data_Strategy_4459244408_JD_capture.md
- Google Drive used: No